AI RESEARCH
DataFactory: Collaborative Multi-Agent Framework for Advanced Table Question Answering
arXiv CS.AI
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ArXi:2603.09152v1 Announce Type: new Table Question Answering (TableQA) enables natural language interaction with structured tabular data. However, existing large language model (LLM) approaches face critical limitations: context length constraints that restrict data handling capabilities, hallucination issues that compromise answer reliability, and single-agent architectures that struggle with complex reasoning scenarios involving semantic relationships and multi-hop logic. This paper